Literature DB >> 31566462

Metabolic Activity in Central Neural Structures of Patients With Myocardial Injury.

Michael Fiechter1,2,3, Andrea Roggo1, Ahmed Haider1,2, Susan Bengs1,2, Irene A Burger1, Monika Marędziak1,2, Angela Portmann1, Valerie Treyer1, Anton S Becker4, Michael Messerli1, Urs J Mühlematter4, Ken Kudura1, Elia von Felten1, Dominik C Benz1, Tobias A Fuchs1, Christoph Gräni1, Aju P Pazhenkottil1, Ronny R Buechel1, Philipp A Kaufmann1, Catherine Gebhard1,2.   

Abstract

Background Increasing evidence suggests a psychosomatic link between neural systems and the heart. In light of the growing burden of ischemic cardiovascular disease across the globe, a better understanding of heart-brain interactions and their implications for cardiovascular treatment strategies is needed. Thus, we sought to investigate the interaction between myocardial injury and metabolic alterations in central neural areas in patients with suspected or known coronary artery disease. Methods and Results The association between resting metabolic activity in distinct neural structures and cardiac function was analyzed in 302 patients (aged 66.8±10.2 years; 70.9% men) undergoing fluor-18-deoxyglucose positron emission tomography and 99mTc-tetrofosmin single-photon emission computed tomography myocardial perfusion imaging. There was evidence for reduction of callosal, caudate, and brainstem fluor-18-deoxyglucose uptake in patients with impaired left ventricular ejection fraction (<55% versus ≥55%: P=0.047, P=0.022, and P=0.013, respectively) and/or in the presence of myocardial ischemia (versus normal perfusion: P=0.010, P=0.013, and P=0.016, respectively). In a sex-stratified analysis, these differences were observed in men, but not in women. A first-order interaction term consisting of sex and impaired left ventricular ejection fraction or myocardial ischemia was identified as predictor of metabolic activity in these neural regions (left ventricular ejection fraction: P=0.015 for brainstem; myocardial ischemia: P=0.004, P=0.018, and P=0.003 for callosal, caudate, or brainstem metabolism, respectively). Conclusions Myocardial dysfunction and injury are associated with reduced resting metabolic activity of central neural structures, including the corpus callosum, the caudate nucleus, and the brainstem. These associations differ in women and men, suggesting sex differences in the pathophysiological interplay of the nervous and cardiovascular systems.

Entities:  

Keywords:  brainstem; caudate nucleus; corpus callosum; fluor‐18‐deoxyglucose positron emission tomography/computed tomography; myocardial perfusion imaging; nervous system, autonomic; sex

Mesh:

Year:  2019        PMID: 31566462      PMCID: PMC6806042          DOI: 10.1161/JAHA.119.013070

Source DB:  PubMed          Journal:  J Am Heart Assoc        ISSN: 2047-9980            Impact factor:   5.501


What Is New?

Myocardial dysfunction and injury are associated with reduced metabolic activity of central neural structures, including the corpus callosum, the caudate nucleus, and the brainstem. In men, but not in women, the presence of myocardial ischemia is associated with blunted neural metabolic activity in these structures. As nuclei within these brain regions have been identified as key modulators of cardiorespiratory pathways, our data suggest that the central adaption process to myocardial injury is modulated by sex.

What Are the Clinical Implications?

This study further supports the investigation of sex‐specific risk stratification and disease management. Our data suggest that neural disease responses might carry important prognostic information for cardiovascular disease management. As the underlying mechanisms are not well understood, the findings in this study should be considered hypothesis generating.

Introduction

Myocardial function and perfusion are well‐recognized prognostic parameters for cardiovascular risk assessment.1, 2 However, the ever‐increasing burden of cardiovascular disease across the globe has prompted efforts to discover new and effective risk predicting biomarkers to confront this challenge. In addition, the demographic shift towards an older population will result in an increase of multimorbid and complex cardiovascular patients at high risk of recurrent events after initial myocardial infarction.3 The latter further emphasizes the need for an optimization of risk predictors and secondary preventive measures in patients with known coronary artery disease (CAD).4 In addition, growing awareness of sexual dimorphism in prevalence, pathophysiological features, and clinical manifestation of CAD highlights the need to reconsider the conventional way of cardiovascular risk assessment.5, 6 The past decade has seen an increasing interest in the field of neurocardiology. Indeed, cognition, structural brain integrity, and heart‐brain interactions have been suggested as potential players in determining outcomes in cardiovascular patients7, 8, 9; and a recent investigation identified resting metabolic activity of the amygdala, a neural structure involved in emotional stress, as an independent and robust predictor of major adverse cardiovascular events in patients without known CAD.10 More important, multiple studies have reported sex differences in brain networks, neuroanatomic structure, and function. Indeed, sex differences in volumes of the major cranial compartments have been described, with women having a higher percentage of gray matter and a lower percentage of white matter than men,11 whereas a greater overall cortical connectivity in women seems to account for some of the documented sex differences in behavior.12, 13 Likewise, sexual dimorphism has been extensively documented for various cardiovascular pathological conditions, such as CAD and heart failure.14, 15 However, a comprehensive analysis of how gender and sex modulate the psychosomatic link between myocardial dysfunction and central stress responses has not been performed. Thus, given (1) the known sex differences in neural structure and function and (2) the sexual dimorphism in cardiovascular disease phenotypes, we sought to investigate the interaction between myocardial injury and metabolic alterations in central neural areas in a cohort of aged individuals with suspected or known CAD.

Methods

Study Population

This retrospective cohort study comprises 25 600 patients who underwent fluor‐18‐deoxyglucose (18F‐FDG) positron emission tomography (PET; full body) for evaluation/follow‐up of malignant and/or inflammatory disorders and 10 148 patients who underwent 1‐day stress/rest (adenosine, dobutamine, or exercise) 99mTc‐tetrofosmin myocardial perfusion imaging–single‐photon emission computed tomography (MPI‐SPECT) for evaluation of suspected or known CAD at our department (November 1, 2007, to February 31, 2015). For each patient, a non–contrast‐enhanced computed tomography (CT) scan for attenuation correction was acquired. A total of 332 study patients received both an MPI‐SPECT and a full‐body 18F‐FDG PET/CT (mean±SE time interval of 47.2±3.4 days in men and 45.3±4.6 days in women). After exclusion of 24 patients because of insufficient clinical data and 6 patients because of poor image quality, 302 patients (70.9% men; mean age, 66.8±10.2 years) remained in the final study population. Patients then underwent stratification by sex and demographic parameters. The patient's history was acquired by review of medical electronic records. Three patients underwent a coronary revascularization between the 2 imaging examinations. Our study was approved by the local ethics board (Business Administration System for Ethics Committees [BASEC] No. 2017‐01112), and the study complies with the Declaration of Helsinki and its later amendments. The need for informed consent was waived by the local ethics board because of the purely retrospective design of the present study. The study population was shared with the PET/SPECT imaging registry reported elsewhere.16 Because of the sensitive nature of the data collected for this study, requests to access the data set from qualified researchers trained in human subject confidentiality protocols may be sent to the Cantonal Ethics Commission Zurich, Switzerland, at Info.KEK@kek.zh.ch.

99mTc‐Tetrofosmin SPECT‐MPI

All patients received a 1‐day stress/rest and ECG‐gated protocol, as previously described.17 A dual‐head camera was used for MPI‐SPECT acquisition (Discovery NM/CT 570c, Infinia Hawkeye, or Ventri; all GE Healthcare, Milwaukee, WI). The camera was equipped with a high‐resolution, low‐energy collimator (20% symmetric window, 64×64 matrix, 140 keV). Acquisitions were gated for 16 frames per R‐R cycle with an acceptance window of 50%. Mean heart rate during acquisition was recorded for each scan. MPI‐SPECT analysis was performed by application of the Cedars QGS/QPS software (Cedars‐Sinai Medical Center, Los Angeles, CA), according to present guidelines.18 Myocardial segments were scored by use of a 20‐segment model and a 5‐point scoring system (by consensus of at least ≥2 experienced readers): 0=normal; 1=equivocal; 2=moderate; 3=severe reduction of radioisotope uptake; and 4=absence of radionuclide uptake in a segment. MPI was graded as abnormal (myocardial ischemia and/or myocardial scar) if stress scores in ≥2 segments were ≥2. A reversible perfusion defect was classified as a stress defect with a rest score ≤1 or a stress defect score of 4 with a rest score of 2. Left ventricular (LV) volumes were retrieved from gated SPECT data sets, and LV ejection fraction (LVEF) was calculated by the ratio of stroke volume (end‐diastolic volume–end‐systolic volume) and end‐diastolic volume. SPECT‐derived LV volumes correlate well with LVEF measurements obtained by other imaging methods, such as echocardiography and cardiac magnetic resonance imaging.19 For attenuation correction and acquisition of coronary artery calcium scoring (Agatston units), a noncontrast CT examination (64‐slice CT scanner; LightSpeed VCT; GE Healthcare) was conducted with the following settings: 64×2.5‐mm collimation, rotation time of 0.35 seconds, tube voltage of 120 kV, and tube current of 200 mA. Coronary artery calcium scoring calculation was performed by application of the semiautomatic SmartScore software (GE Healthcare). Coronary artery stent implantation or bypass vessels were excluded for coronary artery calcium scoring assessment.

Full‐Body 18F‐FDG PET/CT Technique and Determination of Neural Resting Metabolic Activity

18F‐FDG PET imaging is routinely used for quantification of metabolic tissue activity in patients with inflammatory or malignant pathological conditions.20, 21 After measuring each patient's blood glucose level (6.5±1.7 mmol/L in men, 6.2±1.7 mmol/L in women; P=0.140), 18F‐FDG (weight adapted) was administered into a peripheral vein (330.4 MBq; range, 180–525 MBq) and acquisition of PET image (skull to pelvis), according to a standard protocol, was performed 45 to 60 minutes after tracer administration. Images were registered in 3‐dimensional mode on a Discovery VCT or a Discovery RX scanner (both GE Healthcare). Fusion of PET/CT images was conducted by application of a dedicated software package (AW 5.0; GE Healthcare). Full‐body scans were cropped to exclude all areas outside the brain, and quantitative 18F‐FDG resting uptake was assessed by semiautomatically placing volumetric regions of interest in distinct and representative neural structures, including the corpus callosum, caudate nucleus, brainstem, amygdala, hippocampus, thalamus, and insula (Figure 1), using the PMOD software, version 3.7‐3.8 (PMOD Technologies Ltd), developed/validated at our institution,22, 23, 24 including a brain‐segmentation module. Mean tracer accumulation was quantified as standardized uptake value (SUV). Correction for cerebellar metabolic activity to reduce partial volume effects and interindividual alterations of brain activity was performed by dividing mean SUV values of the respective brain regions by cerebellar mean SUV (gray and white matter), as reported previously.10, 25 As a marker for systemic inflammation, 18F‐FDG bone marrow uptake was assessed by placing volumes of interest in the center of vertebral bodies starting from thoracic vertebra 1 to lumbar vertebra 5. 18F‐FDG bone marrow uptake was quantified using mean SUV (corrected for background activity).
Figure 1

Volumetric analysis of central neural structures (using PMOD software). Illustrative axial positron emission tomography slices depicting region of interests (white arrows) around the corpus callosum (yellow; A), the right and left caudate nucleus (red; B), the brainstem (orange; C), the right and left amygdala (yellow; D)/hippocampus (dark green; D), the right and left thalamus (light green; E), and the right and the left insula (gray; F).

Volumetric analysis of central neural structures (using PMOD software). Illustrative axial positron emission tomography slices depicting region of interests (white arrows) around the corpus callosum (yellow; A), the right and left caudate nucleus (red; B), the brainstem (orange; C), the right and left amygdala (yellow; D)/hippocampus (dark green; D), the right and left thalamus (light green; E), and the right and the left insula (gray; F).

Statistical Analysis

The mean and SD are reported for continuous variables, whereas frequencies and percentages are reported for categorical variables. Distribution of data was verified before further analysis by Q‐Q normality and histogram plots, where appropriate. Levene's test was used to assess equality of variances in the sex‐stratified data set. Comparison of variables was conducted by use of the following statistical tests, as appropriate: Student t test, ANOVA, or χ2 test. Pearson product‐moment test was used to identify correlations. For further analysis, LVEF was dichotomized into <55% (pathological) and ≥55% (normal), according to current guidelines.26 After stratification by sex, a linear regression model was used to evaluate the association between resting metabolic activity in central neural regions and LVEF or abnormal myocardial perfusion (reversible/fixed myocardial perfusion defect). In this model, the independent variable not in the equation that has the smallest probability of F is entered at each step, if that probability is sufficiently small (≤0.05). Variables already in the regression equation are removed if their probability of F becomes sufficiently large (≥0.1). The method terminates when no more variables are eligible for inclusion or removal. The regression model was performed among known predictors of CAD, including obesity (body mass index ≥30 kg/m2), current smoking, diabetes mellitus, dyslipidemia, hypertension, positive family history of CAD, and age, as well as known CAD, previous myocardial infarction, use of antidepressants, 18F‐FDG bone marrow uptake (as a surrogate marker of inflammation), and active cancer. Furthermore, in the total study population, an interaction term consisting of either sex and LVEF or sex and abnormal myocardial perfusion was entered in the above model by using otherwise similar predictor variables. All statistical tests were 2‐sided. Given the explorative nature of this analysis, no prespecified level of significance was chosen; rather, the level of evidence was graded on a continuous scale, as previously recommended,27 and P values were quantified according to their level of evidence. Statistical analyses were performed using IBM SPSS, version 25.0 (IBM Corp, Armonk, NY).

Results

The association between resting metabolic activities in different neural structures and cardiac function was analyzed in 302 patients (70.9% men). Mean age was 66.0±10.2 years for men and 69.0±10.0 years for women (P=0.018). Variances for continuous variables were found to be equal between men and women (Levene's test P=0.564 for LVEF, P=0.193 for body mass index, and P=0.616 for age), indicating homogeneity across samples. In particular, there was no evidence for a difference in the prevalence of chronic pain, depression, or active cancer between male and female individuals in our study sample (P=0.491, P=0.756, or P=0.642, respectively). A detailed overview of sex‐stratified demographic characteristics is given in Table 1. Prevalence of cancer types in the total study population was as follows: lung (33.2%), esophageal/gastric (15.5%), colorectal (9.3%), oral/esophageal/laryngeal (7.8%), liver (6.7%), gallbladder/bile path (6.7%), pancreatic (5.2%), mamma (3.6%), hematopoietic (3.6%), genitourinary (3.1%), skin (2.6%), kidney (1.6%), and soft tissue/other (1.1%).
Table 1

Patient Baseline Characteristics

Patient CharacteristicsTotal (n=302)Men (n=214)Women (n=88) P Value (Men vs Women)
Age, mean±SD, y66.8±10.266.0±10.269.0±100.018
BMI, mean±SD, kg/m2 28.1±17.327.4±14.729.7±22.80.769
Hypertension, n (%)142 (47)100 (46.7)42 (47.7)0.874
Smoking, n (%)93 (30.8)73 (34.1)20 (22.7)0.058
Diabetes mellitus, n (%)56 (18.5)42 (19.6)14 (15.9)0.450
Dyslipidemia, n (%)73 (24.2)53 (24.8)20 (22.7)0.707
Family history of CAD, n (%)25 (8.3)14 (6.5)11 (12.5)0.088
Known CAD, n (%)117 (38.7)92 (43)25 (28.4)0.018
Previous MI, n (%)57 (18.9)44 (20.6)13 (14.8)0.243
Previous PCI/CABG, n (%)82 (27.2)65 (30.4)17 (19.3)0.050
CACS >75th percentile, n (%)95 (31.5)65 (30.4)30 (34.1)0.896
Myocardial ischemia, n (%)37 (12.3)31 (14.5)6 (6.8)0.065
Myocardial scar, n (%)60 (19.9)49 (22.9)11 (12.5)0.040
Abnormal myocardial perfusion, n (%)79 (26.2)64 (29.9)15 (17)0.021
Active cancer, n (%)193 (63.9)135 (63.1)58 (65.9)0.642
Depression, n (%)19 (6.3)14 (6.5)5 (5.7)0.756
Chronic pain, n (%)90 (29.8)66 (30.8)24 (27.3)0.491
β Blocker, n (%)146 (48.3)112 (52.3)34 (38.6)0.015
ACE/ARB, n (%)156 (51.7)112 (52.3)44 (50)0.547
Statin, n (%)126 (41.7)88 (41.1)38 (43.2)0.875
P2Y12 inhibitor, n (%)27 (8.9)21 (9.8)6 (6.8)0.372
ASS, n (%)128 (42.4)98 (45.8)30 (34.1)0.037
Antidepressant, n (%)33 (10.9)22 (10.3)11 (12.5)0.601
Corticosteroid, n (%)40 (13.2)28 (13.1)12 (13.6)0.932
Analgesics, n (%)135 (44.7)95 (44.4)40 (45.5)0.945
LVEF, mean±SD, %58.7±13.256.3±12.764.2±12.9<0.001
18F‐FDG bone marrow uptake, mean±SD, SUV1.6±0.61.6±0.51.7±0.60.036
Indication for SPECT, n (%)
Preoperative evaluation186 (61.6)126 (58.9)60 (68.2)0.131
Known CAD60 (19.9)46 (21.5)14 (15.9)0.269
Suspected CAD56 (18.5)42 (19.6)14 (15.9)0.450
Indication for PET, n (%)
Inflammation46 (15.2)35 (16.4)11 (12.5)0.397
Cancer256 (84.8)179 (83.6)77 (87.5)0.397
Symptoms, n (%)
Typical angina pectoris30 (9.9)24 (11.2)6 (6.8)0.246
Atypical angina pectoris23 (7.6)13 (6.1)10 (11.4)0.115
Dyspnea39 (12.9)22 (10.3)17 (19.3)0.033
None210 (69.5)155 (72.4)55 (62.5)0.088

Data are presented as mean±SD or frequencies (percentages). Two‐sided P values are indicated. ACE/ARB indicates angiotensin‐converting enzyme/angiotensin II receptor blocker; ASS, acetylsalicylic acid; BMI, body mass index; CABG, coronary artery bypass graft; CACS, coronary artery calcium score; CAD, coronary artery disease; 18F‐FDG, fluor‐18‐deoxyglucose; LVEF, left ventricular ejection fraction; MI, myocardial infarction; PCI, percutaneous coronary intervention; PET, positron emission tomography; SPECT, single‐proton emission computed tomography.

Patient Baseline Characteristics Data are presented as mean±SD or frequencies (percentages). Two‐sided P values are indicated. ACE/ARB indicates angiotensin‐converting enzyme/angiotensin II receptor blocker; ASS, acetylsalicylic acid; BMI, body mass index; CABG, coronary artery bypass graft; CACS, coronary artery calcium score; CAD, coronary artery disease; 18F‐FDG, fluor‐18‐deoxyglucose; LVEF, left ventricular ejection fraction; MI, myocardial infarction; PCI, percutaneous coronary intervention; PET, positron emission tomography; SPECT, single‐proton emission computed tomography.

Association Between LVEF and Myocardial Ischemia With Resting Callosal, Caudate, and Brainstem Metabolic Activity

In the overall population, among all analyzed central neural regions, resting metabolic activity in the corpus callosum, the caudate nucleus, and the brainstem showed the strongest associations with cardiac function and/or perfusion. An overview of the analyzed neural structures in the total population is given in Table 2.
Table 2

Impact of Neural Structures on Cardiac Function and Perfusion

Neural StructuresCardiac Function and Perfusion ParametersTotal Population (n=302), SUV P Value
PresentAbsent
Corpus callosumLVEF <55% vs ≥55%62.8±39.371.2±32.60.056
Reversible myocardial perfusion defect56.5±35.570.6±34.20.020
Fixed myocardial perfusion defect63.5±34.370.3±34.70.176
Abnormal myocardial perfusion62.6±35.071.2±34.30.058
Caudate nucleusLVEF <55% vs ≥55%15.3±4.516.5±3.60.016
Reversible myocardial perfusion defect14.8±4.616.3±3.70.023
Fixed myocardial perfusion defect16.0±3.916.2±3.90.767
Abnormal myocardial perfusion15.8±4.216.3±3.70.305
BrainstemLVEF <55% vs ≥55%4.6±1.45.0±1.00.005
Reversible myocardial perfusion defect4.4±1.44.9±1.10.025
Fixed myocardial perfusion defect4.8±1.24.9±1.20.884
Abnormal myocardial perfusion4.8±1.34.9±1.10.398
AmygdalaLVEF <55% vs ≥55%29.3±6.029.7±5.10.536
Reversible myocardial perfusion defect28.5±6.429.8±5.20.182
Fixed myocardial perfusion defect29.6±6.329.6±5.10.982
Abnormal myocardial perfusion29.8±6.329.5±5.00.751
HippocampusLVEF <55% vs ≥55%20.5±3.420.5±3.20.857
Reversible myocardial perfusion defect19.7±3.720.6±3.10.091
Fixed myocardial perfusion defect20.4±3.520.5±3.10.874
Abnormal myocardial perfusion20.5±3.520.5±3.10.851
ThalamusLVEF <55% vs ≥55%18.3±6.820.2±5.80.014
Reversible myocardial perfusion defect18.4±7.819.9±5.80.178
Fixed myocardial perfusion defect19.6±5.719.7±6.20.968
Abnormal myocardial perfusion19.5±6.819.7±5.90.747
InsulaLVEF <55% vs ≥55%6.3±1.06.4±0.80.221
Reversible myocardial perfusion defect6.1±0.96.4±0.90.121
Fixed myocardial perfusion defect6.3±1.06.4±0.90.480
Abnormal myocardial perfusion6.3±1.06.4±0.90.385

Data are presented as mean±SD. Values available in >200 patients. Two‐sided P values are indicated. LVEF indicates left ventricular ejection fraction; SUV, standardized uptake value.

Impact of Neural Structures on Cardiac Function and Perfusion Data are presented as mean±SD. Values available in >200 patients. Two‐sided P values are indicated. LVEF indicates left ventricular ejection fraction; SUV, standardized uptake value. When the study cohort was stratified by sex, in men with impaired LVEF <55%, but not in women, 18F‐FDG uptake was reduced in the callosal, caudate, and brainstem region, compared with men with normal LVEF (SUV of 58.3±37.4 versus 68.4±33.2, P=0.047; 14.9±4.4 versus 16.2±3.6, P=0.022; and 4.5±1.4 versus 4.9±1.1, P=0.013, respectively; Figure 2A through 2C for men; Figure 3A through 3C for women). Furthermore, in these 3 neural regions, a reduced 18F‐FDG uptake was detected in men with myocardial ischemia compared with men with normal myocardial perfusion (SUV of 50.8±33.4 versus 67.9±34.4, P=0.010; 14.2±4.6 versus 16.0±3.7, P=0.013; and 4.3±1.5 versus 4.9±1.2, P=0.016; Figure 2D through 2F for men; Figure 3D through 3F for women). Similarly, a positive correlation was observed between LVEF and resting 18F‐FDG uptake (Pearson r=0.150 and P=0.032 for callosal region; r=0.155 and P=0.027 for caudate region; r=0.160 and P=0.022 for brainstem; data not shown). In contrast, no difference in resting callosal, caudate, or brainstem 18F‐FDG uptake was detected between male patients with or without cardiovascular risk factors (data not shown).
Figure 2

Association of callosal, caudate, and brainstem resting metabolic activity with cardiac function and perfusion in men. A through C, Dichotomous comparison of left ventricular ejection fraction (LVEF) ≥55% vs <55% with fluor‐18‐deoxyglucose (18F‐FDG) resting callosal, caudate, and brainstem uptake (standardized uptake value [SUV]). D through F, Dichotomous comparison of 18F‐FDG resting callosal, caudate, and brainstem uptake in absence or presence of myocardial ischemia. Error bars indicate SE, and P values are depicted.

Figure 3

Association of callosal, caudate, and brainstem resting metabolic activity with cardiac function and perfusion in women. A through C, Dichotomous comparison of left ventricular ejection fraction (LVEF) ≥55% vs <55% with fluor‐18‐deoxyglucose (18F‐FDG) resting callosal, caudate, and brainstem uptake (standardized uptake value [SUV]). D through F, Dichotomous comparison of 18F‐FDG resting callosal, caudate, and brainstem uptake in absence or presence of myocardial ischemia. Error bars indicate SE, and P values are depicted.

Association of callosal, caudate, and brainstem resting metabolic activity with cardiac function and perfusion in men. A through C, Dichotomous comparison of left ventricular ejection fraction (LVEF) ≥55% vs <55% with fluor‐18‐deoxyglucose (18F‐FDG) resting callosal, caudate, and brainstem uptake (standardized uptake value [SUV]). D through F, Dichotomous comparison of 18F‐FDG resting callosal, caudate, and brainstem uptake in absence or presence of myocardial ischemia. Error bars indicate SE, and P values are depicted. Association of callosal, caudate, and brainstem resting metabolic activity with cardiac function and perfusion in women. A through C, Dichotomous comparison of left ventricular ejection fraction (LVEF) ≥55% vs <55% with fluor‐18‐deoxyglucose (18F‐FDG) resting callosal, caudate, and brainstem uptake (standardized uptake value [SUV]). D through F, Dichotomous comparison of 18F‐FDG resting callosal, caudate, and brainstem uptake in absence or presence of myocardial ischemia. Error bars indicate SE, and P values are depicted.

Prognostic Value of Myocardial Function and Perfusion on Resting Callosal, Caudate, and Brainstem Metabolic Activity

The association between LVEF and resting 18F‐FDG uptake in all 3 neural centers was initially analyzed in a sex‐stratified linear regression model adjusted for active cancer, age, antidepressants (data on antidepressant medication available in 282 patients), current smoking (smoking status available in 301 patients), dyslipidemia, hypertension, known CAD, previous myocardial infarction, obesity, 18F‐FDG bone marrow uptake (available in 294 patients), and positive family history of CAD. Although LVEF was not predictive for corpus callosum and caudate nucleus activity, LVEF was selected as a predictor of brainstem 18F‐FDG uptake in men, but not in women (B coefficient [SE], 0.014 [0.007]; P=0.044). Accordingly, in the total population, an interaction term consisting of sex and LVEF was evident (B coefficient [SE], 0.016 [0.007]; P=0.015). Furthermore, in men, but not in women, myocardial ischemia was selected as an independent predictor of corpus callosum metabolic activity (B coefficient [SE], −19.710 [6.572]; P=0.003), caudate nucleus activity (B coefficient [SE], −1.789 [0.763]; P=0.020), and brainstem metabolic activity (B coefficient [SE], −0.667 [0.238]; P=0.006) in a sex‐stratified linear regression model adjusted for the same predictor variables as above. Accordingly, an interaction term consisting of sex and myocardial ischemia was selected as a predictor of metabolic activity in these brain regions (corpus callosum: B coefficient [SE], −18.585 [6.423], P=0.004; caudate nucleus: B coefficient [SE], −1.789 [0.754], P=0.018; brainstem: B coefficient [SE], −0.664 [0.221], P=0.003) when the total population was analyzed.

Discussion

This study provides evidence that myocardial ischemia is linked with central neural structure metabolic activity in patients with CAD. Our data suggest that these associations are sex specific, as alterations in resting metabolic activity in the corpus callosum, caudate nucleus, and brainstem were observed in men with myocardial ischemia, but not in women. Accordingly, in men, but not in women, the presence of myocardial ischemia was selected as a predictor of blunted neural metabolic activity in a fully adjusted multivariate linear regression model. As nuclei within these brain regions have been identified as key modulators of cardiorespiratory pathways and cardiac sympathetic activity, our data suggest that the central adaption process to myocardial injury is modulated by sex. It is well known that cardiac conditions, such as atrial fibrillation or congestive heart failure, can lead to cerebrovascular accidents.28 However, even in the absence of manifest stroke, atrial fibrillation has been associated with cognitive impairment and hippocampal atrophy, thereby indicating that neurocardiac interrelations cannot solely be explained by a simplistic cause‐and‐effect model.29 Our data further support this link between neural systems and the viscera by demonstrating an association between ongoing myocardial ischemia and metabolic activities in central neural structures, including the brainstem. Although the subcortical forebrain (hypothalamus and amygdala) plays a pivotal role in central stress responses, nuclei located within the brainstem, such as the caudal ventrolateral medulla and the rostral ventrolateral medulla, have emerged as key modulators of cardiorespiratory pathways and cardiac sympathetic activity.30, 31, 32, 33 Accordingly, chemical inactivation of the rostral ventrolateral medulla has been shown to reduce sympathetic reflexes and baroreceptor responses mediated via GABAergic neurons or ionotropic glutamate receptors.31, 34, 35 Given the persistent and deleterious activation of the sympathetic nervous system observed in patients with ischemic heart disease,36 the reduced 18F‐FDG uptake seen in this region in our study points toward a neuroendocrine adaption process occurring in these cardiomodulatory regions as an answer to burst stressful stimulation from myocardial ischemia. Consistent with previous studies reporting sexual dimorphism in vegetative control of the cardiovascular system,37 we did not observe this “desensitization” process in women, as no alteration of brainstem 18F‐FDG uptake was noticed in this demographic group. Although sex differences in multiorgan cross talk in cardiovascular disease are widely unexplored, it is conceivable that a differential activation of the sympathetic nervous system in men and women might account for the sex‐specific pattern of neural responses to cardiac injury. Indeed, an enhanced cardiac sympathetic activity has been described in women with heart failure.38, 39 In addition, Tawakol et al have recently reported a link between regional brain activity, arterial inflammation, and long‐term cardiovascular outcomes.10 Similarly, experimental data demonstrate an inflammasome‐dependent activation of interleukin‐18 through β‐adrenergic receptor overactivation in the myocardium.40 Thus, given the well‐described differences in male and female immune responses, a sex‐specific activation pattern of the neural‐inflammatory‐cardiac axis might be a key mechanism accounting for the observed sexual dimorphism in heart‐brain communication. Indeed, a model in which inflammation accentuates sex differences in both, brain networks and preexisting vulnerability factors, has recently been suggested.41, 42 Finally, it is known that physiological testosterone levels exert neuroprotective effects on hippocampal volume and cognitive status in men,43, 44 whereas low testosterone was associated with demyelination of the corpus callosum in a mouse model of hormone withdrawal.45 Given the advanced age of our male study cohort and taking into account the age‐dependent decline in circulating testosterone levels, a deleterious effect of low testosterone on brainstem structures might play a role in the observed alterations in neural metabolism in men with ischemic heart disease. Various cardiovascular diseases are intertwined with psychopathological conditions, such as depression, anxiety, or other stress‐related disorders.36, 46, 47 The coexistence of these conditions with myocardial disease is associated with unfavorable cardiovascular outcomes and represents a serious quantitative problem in Western societies. A potential mechanism for such a mutually reinforcing cycle between neural centers and the heart was provided by a recent study demonstrating a link between higher resting metabolic activity in the amygdala, a neural center of the brain's limbic system involved in emotional stress, and adverse cardiovascular outcomes.10 By further extending these findings, we have recently observed that the associations between cardiovascular pathological conditions and the limbic system are sex‐specific.16 However, it is well described that stress‐related mental disease not only induces changes of neural metabolic activity but also alters cognition and structural brain integrity, with some studies suggesting that these alterations are more prominent in men.48, 49, 50, 51 Indeed, a reduced volume of the posterior corpus callosum and, consequently, reduced interhemispheric connectivity was recently measured in patients with posttraumatic stress disorder.52 Furthermore, diffusion tensor imaging studies show a decreased fractional anisotropy as well as smaller volumes of the caudate nucleus in patients with posttraumatic stress disorder, thereby suggesting macrostructural and microstructural alterations in the presence of chronic stress.53, 54 Finally, as the caudate nucleus is perceived as the central brain structure associated to “stimulus‐control” learning,55 the observed caudate hypoactivity in patients with impaired myocardial function might render this population even more vulnerable because of potential incompliance toward medical treatment. Chronic stress has been associated with subregional and selective serotonin cell death in the brainstem's dorsal raphe nuclei in male rats,56 which is consistent with serotonin being a key player in modulating sympathetic tone and hypoxia via nuclei in the brainstem.30 Interestingly, previous experimental studies report higher brainstem serotonin levels in female rats compared with their male counterparts.57 In addition, it is known from large cohorts that women in general have a higher baseline LVEF compared with men and, paradoxically, show enhanced salvage of ischemic myocardium after reperfusion, despite an overall worse outcome.58, 59 As dysregulation of serotonin concentrations in the synaptic cleft seems to be associated with altered metabolic rates of neurons in the brainstem,30 one could hypothesize that higher baseline regional serotonin concentrations along with a preserved cardiac output in the presence of ischemic heart disease might exert a neuroprotective effect in women, leading to preserved metabolic activities in the brainstem. Furthermore, a recent investigation by Templin et al indicates that hypoconnectivity of central brain regions (ie, amygdala, hippocampus, insula, cingulate, parietal, temporal, and cerebellar regions) is associated with autonomic regulation and function of the limbic system in patients with Takotsubo syndrome, a syndrome affecting mainly women who encounter acute LV dysfunction, often resulting from severe emotional stress.60 Although these authors did not investigate callosal, caudate, or brainstem interconnectivity, their findings further emphasize the importance of understanding the complex interrelation of neural structures with cardiovascular pathological conditions. The following study limitations should be pointed out. First, our study is a single‐center, retrospective study with a limited number of patients and is subject to all of the limitations of this study design. In addition, more male than female study participants were included in our analysis. The latter may lead to a referral bias and limited generalization of the results. Second, although potential changes in coronary circulation between the 2 imaging examinations cannot be excluded, the mean time interval between both examinations was only 47 days in both men and women. Third, the population of this study encompasses a heterogeneous group of patients, including 63.1% male and 65.9% female patients with active malignancies (Table 1). Although our linear regression models were adjusted for the presence or absence of active cancer, we cannot completely rule out residual confounding of ongoing systemic chemotherapy, time lag since previous myocardial infarction, age‐associated neurodegeneration, and brain atrophy, or a potential interaction with the amount of 18F‐FDG uptake in neural structures. Finally, volumetric region of interest analysis was based on PET images only, as patients did not undergo simultaneous magnetic resonance imaging–based neuroimaging. Therefore, accurate regional determination of central neural structures was limited, and standard partial volume correction was not performed. However, only clearly depictable subcortical structures with stable metabolic variance were investigated in our study; and we did not intend to assess cortical regions showing a high degree of metabolic variation. Collectively, this investigation is the first to demonstrate a sex‐specific connection between myocardial ischemia and resting metabolic activity in distinct neural centers, such as the corpus callosum, the caudate nucleus, and the brainstem. Our findings further indicate that myocardial disease is differentially associated with these central neural structures in female and male individuals, suggesting that the pathophysiological interplay of the nervous and cardiovascular system is sex‐dependent. However, further work is required to better understand underlying mechanisms, such as the action of serotonin or testosterone, as well as potential clinical implications for diagnosis and treatment of cardiovascular pathological conditions.

Sources of Funding

C. Gebhard was supported by grants from the Swiss National Science Foundation; the Olga Mayenfisch Foundation, Switzerland; the OPO Foundation, Switzerland; the Novartis Foundation, Switzerland; the Swissheart Foundation; and the Helmut Horten Foundation, Switzerland. M. Fiechter was supported by the Swiss Paraplegic Center, Nottwil, Switzerland. M. Messerli was supported by the Iten‐Kohaut Foundation, Switzerland.

Disclosures

All authors have the following to disclose: The University Hospital of Zurich holds a research contract with GE Healthcare. C. Gebhard has received research grants from the Novartis Foundation, Switzerland; and speaker's fees from Sanofi Genzyme.
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1.  Influence of altitude exposure on coronary flow reserve.

Authors:  Christophe A Wyss; Pascal Koepfli; Gregory Fretz; Magdalena Seebauer; Christian Schirlo; Philipp A Kaufmann
Journal:  Circulation       Date:  2003-08-25       Impact factor: 29.690

2.  Relation between resting amygdalar activity and cardiovascular events: a longitudinal and cohort study.

Authors:  Ahmed Tawakol; Amorina Ishai; Richard Ap Takx; Amparo L Figueroa; Abdelrahman Ali; Yannick Kaiser; Quynh A Truong; Chloe Je Solomon; Claudia Calcagno; Venkatesh Mani; Cheuk Y Tang; Willem Jm Mulder; James W Murrough; Udo Hoffmann; Matthias Nahrendorf; Lisa M Shin; Zahi A Fayad; Roger K Pitman
Journal:  Lancet       Date:  2017-01-12       Impact factor: 79.321

3.  Validation of cadmium-zinc-telluride camera for measurement of left ventricular systolic performance.

Authors:  Elisabeth Coupez; Charles Merlin; Viateur Tuyisenge; Laurent Sarry; Bruno Pereira; Jean René Lusson; Louis Boyer; Lucie Cassagnes
Journal:  J Nucl Cardiol       Date:  2017-02-13       Impact factor: 5.952

Review 4.  Differential regulation of the central neural cardiorespiratory system by metabotropic neurotransmitters.

Authors:  Paul M Pilowsky; Mandy S Y Lung; Darko Spirovski; Simon McMullan
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2009-09-12       Impact factor: 6.237

5.  Improved discrimination of benign and malignant lesions on FDG PET/CT, using comparative activity ratios to brain, basal ganglia, or cerebellum.

Authors:  Scott H Britz-Cunningham; John W Millstine; Victor H Gerbaudo
Journal:  Clin Nucl Med       Date:  2008-10       Impact factor: 7.794

6.  Stress-induced alterations in large-scale functional networks of the rodent brain.

Authors:  Marloes J A G Henckens; Kajo van der Marel; Annette van der Toorn; Anup G Pillai; Guillén Fernández; Rick M Dijkhuizen; Marian Joëls
Journal:  Neuroimage       Date:  2014-10-22       Impact factor: 6.556

7.  Prognostic value of cardiac hybrid imaging integrating single-photon emission computed tomography with coronary computed tomography angiography.

Authors:  Aju P Pazhenkottil; René N Nkoulou; Jelena-Rima Ghadri; Bernhard A Herzog; Ronny R Buechel; Silke M Küest; Mathias Wolfrum; Michael Fiechter; Lars Husmann; Oliver Gaemperli; Philipp A Kaufmann
Journal:  Eur Heart J       Date:  2011-02-14       Impact factor: 29.983

8.  Baro-activated neurons with pulse-modulated activity in the rat caudal ventrolateral medulla express GAD67 mRNA.

Authors:  Ann M Schreihofer; Patrice G Guyenet
Journal:  J Neurophysiol       Date:  2002-11-20       Impact factor: 2.714

9.  Beta-adrenergic blockade and myocardial perfusion in coronary artery disease: differential effects in stenotic versus remote myocardial segments.

Authors:  Pascal Koepfli; Christophe A Wyss; Mehdi Namdar; Michael Klainguti; Gustav K von Schulthess; Thomas F Lüscher; Philipp A Kaufmann
Journal:  J Nucl Med       Date:  2004-10       Impact factor: 10.057

10.  Metabolic Activity in Central Neural Structures of Patients With Myocardial Injury.

Authors:  Michael Fiechter; Andrea Roggo; Ahmed Haider; Susan Bengs; Irene A Burger; Monika Marędziak; Angela Portmann; Valerie Treyer; Anton S Becker; Michael Messerli; Urs J Mühlematter; Ken Kudura; Elia von Felten; Dominik C Benz; Tobias A Fuchs; Christoph Gräni; Aju P Pazhenkottil; Ronny R Buechel; Philipp A Kaufmann; Catherine Gebhard
Journal:  J Am Heart Assoc       Date:  2019-09-30       Impact factor: 5.501

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  1 in total

1.  Metabolic Activity in Central Neural Structures of Patients With Myocardial Injury.

Authors:  Michael Fiechter; Andrea Roggo; Ahmed Haider; Susan Bengs; Irene A Burger; Monika Marędziak; Angela Portmann; Valerie Treyer; Anton S Becker; Michael Messerli; Urs J Mühlematter; Ken Kudura; Elia von Felten; Dominik C Benz; Tobias A Fuchs; Christoph Gräni; Aju P Pazhenkottil; Ronny R Buechel; Philipp A Kaufmann; Catherine Gebhard
Journal:  J Am Heart Assoc       Date:  2019-09-30       Impact factor: 5.501

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